This creates a box and whisker plot of conditional weighted residuals
(CWRES) vs population predictions (PRED), and is a specific function in
Xpose 4. It is a wrapper encapsulating arguments to the
xpose.plot.bw
function. Most of the options take their default values
from xpose.data object but may be overridden by supplying them as arguments.
cwres.vs.pred.bw(object, ...)
An xpose.data object.
Other arguments passed to link{xpose.plot.bw}
.
Returns a box-and-whisker plot of CWRES vs PRED.
This creates a box and whisker plot of conditional weighted residuals
(CWRES) vs population predictions (PRED), and is a specific function in
Xpose 4. It is a wrapper encapsulating arguments to the
xpose.plot.bw
function. Most of the options take their default values
from xpose.data object but may be overridden by supplying them as arguments.
Conditional weighted residuals (CWRES) require some extra steps to
calculate. See compute.cwres
for details.
A wide array of extra options controlling bwplots are available. See
xpose.plot.bw
and xpose.panel.bw
for details.
xpose.plot.bw
, xpose.panel.bw
,
bwplot
, xpose.prefs-class
,
compute.cwres
, xpose.data-class
Other specific functions:
absval.cwres.vs.cov.bw()
,
absval.cwres.vs.pred.by.cov()
,
absval.cwres.vs.pred()
,
absval.iwres.cwres.vs.ipred.pred()
,
absval.iwres.vs.cov.bw()
,
absval.iwres.vs.idv()
,
absval.iwres.vs.ipred.by.cov()
,
absval.iwres.vs.ipred()
,
absval.iwres.vs.pred()
,
absval.wres.vs.cov.bw()
,
absval.wres.vs.idv()
,
absval.wres.vs.pred.by.cov()
,
absval.wres.vs.pred()
,
absval_delta_vs_cov_model_comp
,
addit.gof()
,
autocorr.cwres()
,
autocorr.iwres()
,
autocorr.wres()
,
basic.gof()
,
basic.model.comp()
,
cat.dv.vs.idv.sb()
,
cat.pc()
,
cov.splom()
,
cwres.dist.hist()
,
cwres.dist.qq()
,
cwres.vs.cov()
,
cwres.vs.idv.bw()
,
cwres.vs.idv()
,
cwres.vs.pred()
,
cwres.wres.vs.idv()
,
cwres.wres.vs.pred()
,
dOFV.vs.cov()
,
dOFV.vs.id()
,
dOFV1.vs.dOFV2()
,
data.checkout()
,
dv.preds.vs.idv()
,
dv.vs.idv()
,
dv.vs.ipred.by.cov()
,
dv.vs.ipred.by.idv()
,
dv.vs.ipred()
,
dv.vs.pred.by.cov()
,
dv.vs.pred.by.idv()
,
dv.vs.pred.ipred()
,
dv.vs.pred()
,
gof()
,
ind.plots.cwres.hist()
,
ind.plots.cwres.qq()
,
ind.plots()
,
ipred.vs.idv()
,
iwres.dist.hist()
,
iwres.dist.qq()
,
iwres.vs.idv()
,
kaplan.plot()
,
par_cov_hist
,
par_cov_qq
,
parm.vs.cov()
,
parm.vs.parm()
,
pred.vs.idv()
,
ranpar.vs.cov()
,
runsum()
,
wres.dist.hist()
,
wres.dist.qq()
,
wres.vs.idv.bw()
,
wres.vs.idv()
,
wres.vs.pred.bw()
,
wres.vs.pred()
,
xpose.VPC.both()
,
xpose.VPC.categorical()
,
xpose.VPC()
,
xpose4-package
# NOT RUN {
## Here we load the example xpose database
xpdb <- simpraz.xpdb
cwres.vs.pred.bw(xpdb)
# }
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